Rubén Ruiz Torrubiano

Senior Lecturer Institut Digitalisierung und Informatik

  • Dr. Rubén Ruiz Torrubiano | Senior Lecturer Institut Digitalisierung und Informatik - IMC Fachhochschule Krems

    Dr. Rubén Ruiz Torrubiano

    Senior Lecturer Institut Digitalisierung und Informatik
    Institut Digitalisierung und Informatik

    IMC Campus KremsIMC Campus Trakt U, UC
  • Kombinatorische Optimierung
  • Maschinelles Lernen / Data mining
  • Ruiz-Torrubiano, R., Kormann-Hainzl, G. (2023): Smart Regions in the Age of the Citizen Developer: A Service-Oriented Engineering Approach. In Cecon, F. et al (Hrsg.), Proceedings CEEeGov 2023: Central and Eastern European eDem and eGov Days 2023. Budapest, Hungary: Association for Computer Machinery.

    Doi: 10.1145/3603304.3603342
  • Ruiz-Torrubiano, R., Dhungana, D., Kormann-Hainzl, G., Paudel, S. (2023): SSDL: A Domain-Specific Modeling Language for Smart City Services. In Meierhofer, J., West, S., Buecheler, T. (Hrsg.), Smart Services Summit. SMSESU 2022. Progress in IS (113-121). Zürich, Switzerland: Springer, Cham.

    Doi: https://doi.org/10.1007/978-3-031-36698-7_12
  • Dhungana, D., Haselböck, A., Ruiz-Torrubiano, R., Wallner, S. (2023): Building Optimal Consortia in Smart Production Ecosystems. In Galizia, F.G., Bortolini, M. (Hrsg.), Proceedings of the 9th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2023) and the 11th World Mass Customization & Personalization Conference (MCPC2023), Bologna, Italy, June 2023 (790-798). Bologna, Italy: Springer.

    Doi: https://doi.org/10.1007/978-3-031-34821-1_86
  • Dhungana, D., Haselböck, A., Ruiz-Torrubiano, R., Wallner, S. (2022): Variability of safety risks in production environments. In Alexander Felfernig et. al. (Hrsg.), SPLC '22: Proceedings of the 26th ACM International Systems and Software Product Line Conference (178-187). Graz, Austria: Association for Computing Machinery.

    Doi: https://doi.org/10.1145/3546932.3547074
  • Ruiz-Torrubiano, R., Suárez, A. (2015): A memetic algorithm for cardinality-constrained portfolio optimization with transaction costs. Applied Soft Computing, 36: 125-142.

    Doi: https://doi.org/10.1016/j.asoc.2015.06.053
  • Ruiz-Torrubiano, R., Suarez, A. (2011): The TransRAR crossover operator for genetic algorithms with set encoding. In Ruiz-Torrubiano, R., Suarez, A. (Hrsg.), Proceedings of the 13th annual conference on Genetic and evolutionary computation (489-496). New York: Association for Computing Machinery.

    Doi: https://doi.org/10.1145/2001576.2001644
  • Ruiz-Torrubiano, R., Suarez, A. (2010): Hybrid approaches and dimensionality reduction for portfolio selection with cardinality constraints. IEEE Computational Intelligence Magazine, 5(2): 92-107.

    Doi: https://doi.org/10.1109/MCI.2010.936308
  • Ruiz-Torrubiano, R., García-Moratilla, S., Suárez, A. (2010): Optimization problems with cardinality constraints. In Ruiz-Torrubiano, R., García-Moratilla, S., Suárez, A. (Hrsg.), Optimization problems with cardinality constraints (105-130). Berlin Heidelberg: Springer.

    Doi: https://doi.org/10.1007/978-3-642-12775-5_5
  • Ruiz-Torrubiano, R., Suárez, A. (2009): A hybrid optimization approach to index tracking. Annals of Operations Research, 166(1): 57-71.

    Doi: https://doi.org./10.1007/s10479-008-0404-4
  • Ruiz-Torrubiano, R., Suárez, A. (2007): Use of heuristic rules in evolutionary methods for the selection of optimal investment portfolios. In IEEE (Hrsg.), IEEE. Singapore: IEEE.

    Doi: https://doi.org/10.1109/CEC.2007.4424474
  • Moral-Escudero, R., Ruiz-Torrubiano, R., Suárez, A. (2006): Selection of optimal investment portfolios with cardinality constraints. In Moral-Escudero, R., Ruiz-Torrubiano, R., Suárez, A. (Hrsg.), 2006 IEEE International Conference on Evolutionary Computation (2382-2388). New York: IEEE.

    Doi: https://doi.org/10.1109/CEC.2006.1688603
  • Hernández-Lobato, D., Hernández-Lobato, J., Ruiz-Torrubiano, R., Valle, A. (2006): Pruning adaptive boosting ensembles by means of a genetic algorithm. In Hernández-Lobato, D., Hernández-Lobato, J., Ruiz-Torrubiano, R., Valle, A. (Hrsg.), International Conference on Intelligent Data Engineering and Automated Learning (322-329). Berlin Heidelberg: Springer.

    Doi: https://doi.org/10.1007/11875581_39